|Agent-based model personalized learning support system for programming (PLESS)
|Hong Kong Polytechnic University -- Dissertations.
Computer-assisted instruction -- Programming.
Instructional systems -- Computer programs.
|Department of Computing
|vii, 105 leaves : ill. ; 30 cm.
|Traditional lessons provide only one type of course material and schedule for all learners. However, most learners have individualized needs and would benefit from personalized course materials. As Reigeluth concludes, "one size does not fit all" , and personalized online courseware is necessary to optimize learning for individuals of all levels in this modern, fast-growing society. Such courseware facilitates the individualization and repurposing of learning objects. This dissertation proposes an agent-based model approach to online courseware for Java programming. Ontological processes are applied to learning objects in a comprehensive learning support system. The agent-based model approach and the ontological learning objects work in synergy in this system. Presented here are the theoretical models, design and strategies for implementation of this programming system. We also describe the agent-based architecture of the learner model in the learning support system, and how agents facilitate fluent communication between the learner model and learning objects. The objective of this project is to exemplify the benefit of this approach through the development of a prototype online courseware, and to trial and evaluate the approach from a pedagogical, feasibility and adaptivity perspective.
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